For turning
from utils import plotting_tools
import numpy as np
import os.path
def show_samples(grading_data_dir_name, subset_name, num_of_samples = 100, run_num = 'run_1'):
"""Predicted Samples Viewer"""
# Count all iamges
path = os.path.join('..', 'data', grading_data_dir_name)
ims = np.array(plotting_tools.get_im_files(path, subset_name))
print('All images: ', len(ims))
# Show samples
im_files = plotting_tools.get_im_file_sample(
grading_data_dir_name, subset_name, run_num, n_file_names=num_of_files)
print('Sample images: ', len(im_files))
for i in range(min(num_of_files, len(ims))):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
show_samples(grading_data_dir_name='sample_evaluation_data', subset_name='patrol_non_targ')